Smith Kirsten A, Dennis Matt, Masthoff Judith, Tintarev Nava
1University of Southampton, Southampton, UK.
2University of Portsmouth, Portsmouth, UK.
User Model User-adapt Interact. 2019;29(3):573-618. doi: 10.1007/s11257-019-09219-6. Epub 2019 Mar 19.
Personality impacts all areas of our lives; it governs who we are and how we react to life's challenges. Personalized systems that adapt to end users should take into account the user's personality to perform well. Several methodologies (e.g. User-as-Wizard, indirect studies) that use personality adaptation require first for personality to be conveyed to the participant; this has few validated approaches. Furthermore, measuring personality is often time consuming, prone to response bias (e.g. using questionnaires) or data intensive (e.g. using behaviour or text mining). This paper presents a methodology for creating and validating stories to convey psychological traits and for using such stories with a scale to measure these traits. We present the validation of the scale and evaluate its reliability. To evidence the validity of the methodology, we outline studies where the stories and scale have been effectively applied (in recommender systems, intelligent tutoring systems, and persuasive systems).
个性影响着我们生活的方方面面；它决定了我们是谁以及我们如何应对生活中的挑战。适应终端用户的个性化系统应该考虑用户的个性，以便更好地运行。几种使用个性适应的方法（如用户向导法、间接研究法）首先需要将个性传达给参与者，但目前几乎没有经过验证的方法。此外，测量个性通常耗时较长，容易出现反应偏差（如使用问卷调查）或数据密集（如使用行为或文本挖掘）。本文提出了一种方法，用于创建和验证传达心理特质的故事，并使用这样的故事搭配一个量表来测量这些特质。我们展示了该量表的验证过程并评估了其可靠性。为了证明该方法的有效性，我们概述了一些研究，其中故事和量表已在推荐系统、智能辅导系统和说服系统中得到有效应用。
